### Node Binaries

filename | sha512 hash
-------- | -----------
[kubernetes-node-linux-amd64.tar.gz](https://dl.k8s.io/v1.33.7/kubernetes-node-linux-amd64.tar.gz) | 5bfc96ebb21775e1eef5fc87a8cf14caef34772b827a312766d121bbeb9657b14bfd468070567f344ad243d481ab1ef26e34012588c024cfd9dacf9ffded8638

 * with user-defined properties.
 *
 * <p>A {@code ValueGraph} built by this class has the following default properties:
 *
 * <ul>
 *   <li>does not allow self-loops
 *   <li>orders {@link ValueGraph#nodes()} in the order in which the elements were added (insertion
 *       order)
 * </ul>
 *
 * <p>{@code ValueGraph}s built by this class also guarantee that each collection-returning accessor

    }

    /**
     * Gets the XPath expression for selecting target nodes.
     *
     * @return the target node path
     */
    public String getTargetNodePath() {
        return targetNodePath;
    }

    /**
     * Sets the XPath expression for selecting target nodes.
     *
     * @param targetNodePath the target node path to set
     */

                    model.getGroupId(), model.getArtifactId(), model.getVersion(), null);
            Node node = iSession.collectDependencies(
                    iSession.createDependencyCoordinates(artifact), PathScope.MAIN_RUNTIME);

            Map<String, Node> nodes = node.stream()
                    .collect(Collectors.toMap(n -> getDependencyKey(n.getDependency()), Function.identity()));

	// can easily eat into the internode bandwidth. This function would be mostly
	// TX saturating, however there are situations where a RX might also saturate.
	// To avoid these problems we must split the work at scale. With 1000 node
	// setup becoming a reality we must try to shard the work properly such as
	// pick 10 nodes that precisely can send those 100 requests the first node

[kubernetes-node-linux-arm64.tar.gz](https://dl.k8s.io/v1.9.10/kubernetes-node-linux-arm64.tar.gz) | `8b6d61316e99c17d51ffd966c26d2034960947968a5a6840e547a1966a087ad7`
[kubernetes-node-linux-ppc64le.tar.gz](https://dl.k8s.io/v1.9.10/kubernetes-node-linux-ppc64le.tar.gz) | `471d3a21f9bd8e8a7f03f8d225c4a72d7305f888102556e0ba29e5ec86dc763e`

     */
    protected boolean namespaceAware;

    /**
     * If true, the parser will convert CDATA nodes to Text nodes and append them to the adjacent Text node.
     */
    protected boolean coalescing;

    /**
     * If true, the parser will expand entity reference nodes.
     */
    protected boolean expandEntityRef = false;

    /**
     * If true, the parser will ignore comments.

  Set<E> inEdges();

  Set<E> outEdges();

  /**
   * Returns the set of edges connecting the origin node to {@code node}. For networks without
   * parallel edges, this set cannot be of size greater than one.
   */
  Set<E> edgesConnecting(N node);

  /**
   * Returns the node that is adjacent to the origin node along {@code edge}.
   *
   * <p>In the directed case, {@code edge} is assumed to be an outgoing edge.
   */

    AbstractGraphTest.validateGraph(transpose);

    for (Integer node : directedGraph.nodes()) {
      assertThat(directedGraph.inDegree(node)).isSameInstanceAs(transpose.outDegree(node));
      assertThat(directedGraph.outDegree(node)).isSameInstanceAs(transpose.inDegree(node));
    }

    assertThat(transpose.successors(N1)).doesNotContain(N2);
    directedGraph.putEdge(N2, N1);

    createdAt: datetime
    author: Union[Author, None] = None


class Replies(BaseModel):
    totalCount: int
    nodes: list[CommentsNode]


class DiscussionsCommentsNode(CommentsNode):
    replies: Replies


class DiscussionsComments(BaseModel):
    totalCount: int
    nodes: list[DiscussionsCommentsNode]


class DiscussionsNode(BaseModel):
    number: int
    author: Union[Author, None] = None